Microsoft Technology Licensing, LLC

Saurabh Vats

Srinivasachakrapani Kotipalli

Todd Carlyle Luttinen

Chittaranjan Sadanand Pattekar

Konstantin E Ryvkin

Bradley David Rutkowski

Rajesh Kumar Maskara

Brad D Rutkowski

Paul James Andrew

Irina Andreea Rosoiu

Malvika Modi

Fangwen Yu

Liting Zhao

Zhenguo Yang

Xuelin Chen

A latency processing system detects traffic at a cloud service end point and analyzes packets in the detected traffic to identify a network configuration of a client that is accessing the cloud service. Latency components corresponding to different parts of the network configuration are identified and quantified. A recommendation engine is controlled to generate and surface an output indicative of recommendations for reducing network latency.

Detecting and quantifying latency components in accessing cloud services

The present application describes a detect, alert and recovery system for various cloud-based and/or network-based services. The detect, alert and recovery system receives network performance data associated with a particular namespace from various network information sources. The network performance data may be aggregated based on various scopes. The aggregated data is then analyzed to determine whether an anomaly exists. If an anomaly exists, the detect, alert and recovery system may cause the performance of various actions in order to address the anomaly.

Triggering recovery actions based on corroborating anomalies

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Seattle, WA, United States of America

Saurabh Vats